Artificial Intelligence

Introduction to Neural Networks and Deep Learning

4.43 (485 Ratings)


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About this course

Deep learning allows machines to solve relatively complex problems even when using data that is diverse, less structured or interdependent. Deep learning is a form of machine learning that is inspired and modeled on how the human brain works. In this course you will be introduced to the basics of deep learning and learn how it compares to other techniques. During the course you will also understand the applications of deep learning in various fields and learn more about different frameworks used for neural networks.

Skills covered

  • check Gradient Descent
  • check Perceptron
  • check Neural Networks
  • check Activation
  • check Loss functions
  • check Batch Normalization
  • check Hyper parameter tuning
  • check Deep Neural Networks
  • check Tensor Flow
  • check Keras

Course Syllabus

Neural Network and deep learning

  • play History
  • play Why data driven?
  • play Traditional Method - K Nearest Neighbor Approach
  • play Parameters vs Hyper parameters
  • play KNN never used on images
  • play Parametric Approach
  • play Scalars, Vectors, Matrices, And Tensors
  • play Linear operations on Vectors and Matrices
  • play Vector Properties: Vector norms, some special vectors and matrices
  • play Working with Google Colabs
  • play Functions and derivatives
  • play Optimizing a continuous function
  • play Components of Supervised Machine learning
  • play Components of Supervised ML: Model, Parameters, and Hyper parameters
  • play Components of Supervised ML: Loss functions
  • play Regularization
  • play Introduction to Neural Networks
  • play Building Blocks of Neural Networks
  • play TensorFlow, Keras, and Tensorboard
  • play Babysitting the Neural Network

Course Certificate

Get Introduction to Neural Networks and Deep Learning course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate

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